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StatMatch (version 1.2.0)

Statistical Matching

Description

The package StatMatch provides some R functions to perform statistical matching, i.e. the integration of two data sources referred to the same target population which share a number of common variables. Some functions can also be used to impute missing values in data sets through hot deck imputation methods. Methods to perform statistical matching when dealing with data from complex sample surveys are available too.

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Version

Install

install.packages('StatMatch')

Monthly Downloads

1,383

Version

1.2.0

License

EUPL

Maintainer

Marcello D'Orazio

Last Published

December 3rd, 2012

Functions in StatMatch (1.2.0)

gower.dist

Computes the Gower's Distance
fact2dummy

Transforms a categorical variable in a set of dummy variables
comb.samples

Statistical Matching of data from complex sample surveys
create.fused

Creates a matched (synthetic) dataset
comp.prop

Compares two distributions of categorical variables
RANDwNND.hotdeck

Random Distance hot deck.
mixed.mtc

Statistical Matching via Mixed Methods
Fbwidths.by.x

Computes the Frechet bounds of cells in a contingency table by considering all the possible subsets of the common variables.
Frechet.bounds.cat

Frechet bounds of cells in a contingency table
maximum.dist

Computes the Maximum Distance
rankNND.hotdeck

Rank distance hot deck method.
harmonize.x

Harmonizes the marginal (joint) distribution of a set of variables observed independently in two sample surveys referred to the same target population
NND.hotdeck

Distance Hot Deck method.
StatMatch-package

Statistical Matching
mahalanobis.dist

Computes the Mahalanobis Distance
pw.assoc

Pairwise association measure between categorical variables